code: def test_select_none_competent():
      n_classifiers = 3
      des_p_test = DESP()
      des_p_test.n_classes_ = 2
      competences = np.ones(n_classifiers) * 0.49
      indices = des_p_test.select(competences)
      expected = np.array([[True, True, True]])
      assert np.array_equal(expected, indices)
  
file_path: DESlib/deslib/tests/des/test_desp.py
imports: import numpy
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.des_p import DESP
label_desc: Use image node_id 5 for calling a global function with example usage: test_select_none_competent() without return types